Fog Computing

With the rapid increase of the distributed computing devices such as the Internet of Things (IoT) devices, the time-critical applications necessitate the demand of the decentralized computing environment. The cloud computing technology supports the real-time processing of the massive amount of data by its on-demand access. However, cloud computing extends the response time due to its remote access, which is inapplicable for time-critical applications. Fog computing technology has become one of the promising solutions for large-scale and distributed IoT applications.

Fog computing resolves the shortcomings in cloud computing technology such as high energy consumption, communication delay, and network load by enabling the computation and storage closer to the IoT devices. It provides fruitful benefits to the time-sensitive applications by providing the advantages of cloud computing closer to the end devices. Fog computing has been widely used in various real-time applications such as smart cities, smart grids, connected cars, and real-time analytics.

Research Areas

  • Fog Computing architecture for Cloud of Things
  • Blockchain-based Fog computing
  • Autonomous transportation through Fog computing
  • Offloading and Load redistribution in Fog computing
  • Scalability and QoS management
  • Energy-aware Load balancing
  • Real-time analytics in Fog
  • Cognitive fog-based applications
  • Fog-to-Fog and Fog-to-Cloud communication
  • Fog Computing in 5G network
  • Trust and Security in Fog computing
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